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A library of composable components enabling simpler Computational Intelligence
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/** __ __
* _____ _/ /_/ /_ Computational Intelligence Library (CIlib)
* / ___/ / / / __ \ (c) CIRG @ UP
* / /__/ / / / /_/ / http://cilib.net
* \___/_/_/_/_.___/
*/
package net.sourceforge.cilib.math.random;
import static com.google.common.base.Preconditions.checkArgument;
import net.sourceforge.cilib.controlparameter.ConstantControlParameter;
import net.sourceforge.cilib.controlparameter.ControlParameter;
import net.sourceforge.cilib.math.random.generator.Rand;
public class LaplaceDistribution implements ProbabilityDistributionFunction {
private ControlParameter location;
private ControlParameter scale;
public LaplaceDistribution() {
location = ConstantControlParameter.of(0.0);
scale = ConstantControlParameter.of(1.0);
}
/**
* Get a Laplace-distributed random number with location 0.0 and scale 1.0.
* @return a Laplace-distributed random number with location 0.0 and scale 1.0.
*/
@Override
public double getRandomNumber() {
return getRandomNumber(location.getParameter(), scale.getParameter());
}
/**
* Get a Laplace-distributed random number. Two parameters are required.
* The first specifies the location, the second specifies the scale.
*
* @param parameters the location and the scale of the distribution.
* @return a Laplace-distributed random number.
*/
@Override
public double getRandomNumber(double... parameters) {
checkArgument(parameters.length == 2, "The Laplace distribution requires two parameters.");
checkArgument(parameters[1] > 0, "The scale parameter must be greater than zero.");
double r = Rand.nextDouble() - 0.5; //uniform number in the range (-0.5, 0.5]:
return parameters[0] - parameters[1] * (Math.log(1 - 2 * Math.abs(r))) * Math.signum(r);
}
public void setScale(ControlParameter scale) {
this.scale = scale;
}
public ControlParameter getScale() {
return scale;
}
public void setLocation(ControlParameter location) {
this.location = location;
}
public ControlParameter getLocation() {
return location;
}
}
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